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MOCHA: mobile check-in application for university campuses beyond COVID-19

Authors:

Yuuki Nishiyama,

Hiroaki Murakami,

Yoshihiro KawaharaAuthors Info & Claims

MobiHoc '22: Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

Pages 253 - 258

https://doi.org/10.1145/3492866.3557736

Published: 03 October 2022 Publication History

Abstract

Users and operators of shared spaces must ensure safety in such areas to prevent the spread of COVID-19. Although each organization has operated a variety of safety-related systems, including contact tracing, congestion monitoring, and check-in services, it is unclear what elements, such as privacy protection level, benefits, and permission procedures, have promoted the usage of these systems. In this study, we created MOCHA, a platform for sharing and tracking room-level locations. This platform automatically detects visited places by scanning Bluetooth beacons in each room using smartphones and shares location data according to predefined user settings. The collected data is used for room-level contact tracing, congestion monitoring, and reservation services. According to >6,500 users' usage data for a year in a university, outlining the advantages of utilizing the app encouraged people to install the app, and reinforced connections in small private groups are encouraged to use the app continuously.

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Cited By

Massari ASolarino BPerchinunno PD’Uggento ABenevento MD’Addosio VNicolò VL’Abbate S(2024)Statistical Analysis of Abilities to Give Consent to Health Data ProcessingApplied Mathematics10.4236/am.2024.15803215:08(508-542)Online publication date: 2024
https://doi.org/10.4236/am.2024.158032
Maruyama JHonma YNishiyama YKawahara Y(2023)A Trajectory Estimation Method from Spatially Sparse and Noisy Beacon Data Based on Spring DynamicsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3626263(286-287)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3626263

Index Terms

MOCHA: mobile check-in application for university campuses beyond COVID-19
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing
    2. Ubiquitous and mobile devices
      1. Smartphones
2. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Usability in security and privacy

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cover image ACM Conferences

MobiHoc '22: Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 2022

442 pages

ISBN:9781450391658

DOI:10.1145/3492866

General Chairs:
Song Chong
KAIST
,
Changhee Joo
Korea University
,
Kyunghan Lee
Seoul National University

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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New York, NY, United States

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Published: 03 October 2022

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MobiHoc '22

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MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 17 - 20, 2022

Seoul, Republic of Korea

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Cited By

Massari ASolarino BPerchinunno PD’Uggento ABenevento MD’Addosio VNicolò VL’Abbate S(2024)Statistical Analysis of Abilities to Give Consent to Health Data ProcessingApplied Mathematics10.4236/am.2024.15803215:08(508-542)Online publication date: 2024
https://doi.org/10.4236/am.2024.158032
Maruyama JHonma YNishiyama YKawahara Y(2023)A Trajectory Estimation Method from Spatially Sparse and Noisy Beacon Data Based on Spring DynamicsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3626263(286-287)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3626263

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